Eppendorf SE, a leading life science company, and DataHow AG, a pioneer in  advanced data analytics and AI-driven prediction software, are excited to  announce a strategic collaboration aimed at transforming bioprocess  development. This partnership will integrate DataHow's innovative AI-enabled  analytics solution, DataHowLab, with Eppendorf's cloud-based monitoring  and analytics platform, BioNsight® cloud, providing scientists with  unparalleled insight and analytics capabilities. 

Enhancing bioprocess development efficiency and collaboration 

In the highly specialized field of bioprocess development, the ability to  design and optimize complex processes that meet stringent quality  standards with maximum efficiency is crucial. Process data is a critical asset  in this endeavor, yet leveraging it effectively remains a significant analytical  challenge for process scientists. 

The integration of DataHowLab software within BioNsight cloud addresses  this need by offering a streamlined journey from data generation to advanced  analytics and insight, enabling researchers to make informed decisions  quickly and efficiently.  

Data harmony around bioreactors is essential for enabling a robust  bioprocess ecosystem. Bioprocess engineering demands seamless  convergence between research and development as well as scalable  production. This collaboration addresses the intricate requirements for  digital services in this context. 

Seamless data integration and accessibility 

"Integration and collaboration are sometimes overlooked but are crucial for  the success of bioprocess projects. Our solutions enable seamless data  sharing and contextualization across multiple devices and locations,  ensuring that scientists can make meaningful comparisons and generate  valuable insights.", says Lina Tao, Senior Vice President Eppendorf  Bioprocess. 

“The combined platform will enable scientists to access and model data from  multiple devices—whether it's a PC, laptop, or mobile—across labs,  industries, and even countries”, says Dr. Alessandro Butté, Chief Executive  Officer at DataHow. “This level of accessibility allows for easy and meaningful  comparisons, generating insights across different scales and various runs.” 

Automating data preparation 

Manual data cleaning and formatting are often tedious and error-prone tasks  that can significantly impede the research process. By automating these  processes, the integrated platform saves valuable time and reduces the risk  of errors, allowing researchers to focus on value-add analysis and in  generating critical insights for decision-making. This is where cloud  technology truly excels, providing easy access to clean, formatted data that  is ready for analysis. 

Unlocking the power of predictive modeling 

With clean and well-organized data, DataHowLab democratizes access to  advanced AI-enabled analytics, enabling non-data science experts to perform  complex analyses with guided workflows.  

Scientists can use the software to perform advanced process data analytics,  run in silico simulations to generate insight outside of the wet-lab, or for AI enabled optimal experimental design. With faster process understanding,  R&D can operate more efficiently by reducing experimental effort and  accelerating project timelines.  

Fostering collaboration and integration 

The collaboration between Eppendorf and DataHow sets a new standard for  data integration and collaboration in the bioprocessing field. By enabling  seamless data sharing and contextualization between BioNsight cloud and  DataHowLab. This is crucial for advancing our understanding of complex  biological processes and ultimately, for the success of research projects.